With 40+ years of experience in computer industry, SPARKLE is launching a series of graphics cards based on the recently launched Intel Arc GPU for edge and provide longevity support up to 5 years.

SPARKLE graphic cards feature high-efficiency AI, visual computing and media processing. GPU cards from SPARKLE are edge-focused form factors with long life and optimizations for embedded use conditions and improves development and operating efficiency based on an open ecosystem by leveraging AI inferencing software, OpenVINO which automatically distributes workloads across CPU and GPU. SPARKLE has prepared and showcased the full series of SPARKLE Intel Arc graphics cards targeted for the edge, based on Intel Arc A750E, A580E, A380E, A310E, A370E and A350E GPUs. These graphics cards come solid longevity support up to 5 years.

Aetina, a leading global Edge AI solution provider, announces the release of its new embedded MXM GPU series utilizing the NVIDIA Ada Lovelace architecture - MX2000A-VP, MX3500A-SP, and MX5000A-WP. Designed for real-time ray tracing and AI-based neural graphics, this series significantly enhances GPU performance, delivering outstanding gaming and creative, professional graphics, AI, and compute performance. It provides the ultimate AI processing and computing capabilities for applications in smart healthcare, autonomous machines, smart manufacturing, and commercial gaming.

The global GPU (graphics processing unit) market is expected to achieve a 34.4% compound annual growth rate from 2023 to 2028, with advancements in the artificial intelligence (AI) industry being a key driver of this growth. As the trend of AI applications expands from the cloud to edge devices, many businesses are seeking to maximize AI computing performance within minimal devices due to space constraints in deployment environments. Aetina's latest embedded MXM modules - MX2000A-VP, MX3500A-SP, and MX5000A-WP, adopting the NVIDIA Ada Lovelace architecture, not only make significant breakthroughs in performance and energy efficiency but also enhance the performance of ray tracing and AI-based neural graphics. The modules, with their compact design, efficiently save space, thereby opening up more possibilities for edge AI devices.

IBASE Technology Inc. (TPEx: 8050), a leading provider of industrial computing solutions, unveils the SI-624-AI industrial AI computer, which won the Embedded Computing Design's Embedded World 2023 Best in Show Award in Germany. This recognition highlights the exceptional performance and innovation of the rugged system in the field of AI deep learning.

The SI-624-AI is designed to meet the demands of high-speed multiple tasks for artificial neural network applications. Powered by the 12th Gen Intel Core CPU and incorporating the NVIDIA Ampere Architecture MXM GPU, this cutting-edge system delivers image processing capabilities that enable real-time analysis of visual data, enhancing automation, quality control, and overall production efficiency for AIoT applications in smart factory, retail, transportation or medical fields. It is suitable for use as a digital signage control system in mission-critical control rooms in transportation networks, smart retail, healthcare, or AI education where remote AI data analysis capabilities are required.

Sparkle already announced that it will be coming up with the Intel Arc graphics card lineup soon, and it came to the Computex 2023 show in force, showing some rather impressive graphics cards, including the Arc A770 Watercooling concept, a couple of custom TITAN OC Edition graphics cards, and the A370 MXM version.

Sparkle's Intel Arc lineup starts off with some industrial low-profile graphics cards based on Intel Arc A310 and Arc A380 graphics cards, as well as standard Mini-ITX size ELF series versions which will be based on the same GPUs. Sparkle is also working on an Intel Arc A370 MXM GPU for laptops, which is a nice surprise. The main part of the showcase were certainly Sparkle's Intel Arc ORC and TITAN OC Edition custom versions of the Intel Arc A750 and Arc A770 chips. The biggest surprise though was the custom Sparkle A770 Watercooling concept. Sparkle is definitely serious in joining the Intel Arc team with Acer, ASRock, GUNNIR, Gigabyte, MSI and others, so hopefully we'll see some of these graphics cards on retail/e-tail shelves soon.

Aetina Corporation, a leading provider of AI solutions for the creations of different types of vertical AI, will showcase its new embedded computers, AI inference platforms, GPUs, AI accelerators, and edge devices management software at upcoming Embedded World 2023. Aetina provides different types of form factors based on GPUs or ASICs, such as MXMs, graphic cards, and edge computing systems. The MXMs that are powered by NVIDIA Ampere architecture-based GPU offer extra computing power to existing AI systems, ensuring low-latency data analytics tasks. The MXMs and systems that are built with ASICs, on the other hand, are ideal for the creation of any specific applications or AI systems that involve multi-inference processes.

As an Elite member of the NVIDIA Partner Network, Aetina offers a variety of edge computing systems and platforms powered by the NVIDIA Jetson edge AI and robotics platform. Aetina's newly released embedded computers are built with the Jetson Orin series SoMs—Jetson AGX Orin, Jetson Orin NX, and Jetson Orin Nano ; these small-sized systems and platforms, supporting different peripherals, can be easily integrated into larger AI-powered systems while also being able to function as a standalone AI computer.

After GUNNIR showed the same product back in January, ADLINK is now offering both Intel Arc A-series GPUs in MXM form factor. The MXM (Mobile PCI Express Module) is a standardized form factor that is used mostly in laptops and some small form factor PCs. Product pages confirm that ADLINK offers both the Intel Arc A370M and the Intel Arc A350M in MXM form factor.

According to specifications The ADLINK MXM-AXe, as the product is called, is MXM 3.1 Type A based on Intel Arc GPU, packing 8 Xe-cores, 128 Execution Units, 4 GB of GDDR6 memory, and TDP of 35-50 W, which is pretty much standard for the Arc A370M GPU. The company also offers the same product with A350M GPU with TDP of 25-35 W. With decent power efficiency, full AV1 hardware encoding, and support for up to four 4K displays, such a GPU would be perfect for small form factor machines, and could be even a decent upgrade for some laptops.

A Chinese OEM put a desktop Intel Arc "Alchemist" A380 GPU on an MXM board for notebooks and mobile workstations with upgradable graphics. This isn't the mobile A380M, but rather the desktop A380 that has been designed into an MXM 3.1 type-A board that's capable of PCIe Gen 4 x8. The 6 nm ACM-G11 ASIC is flanked by three GDDR6 memory chips that make the board's 6 GB of memory across its 96-bit memory bus. What's interesting about this board is its tight power limits, which are set at 50 W, that can draw up to 75 W. The card puts out three HDMI and one DP outputs. Its cooling solution mount-hole spacing appears to match that of the popular GeForce GTX 1050 Ti.

SUS IoT, the global AIoT solution provider, today announced PE3000G—the industry's first edge AI system to support Mobile PCI Express Module (MXM) GPUs from both NVIDIA and Intel. Specifically, the all-new industrial PC works seamlessly with NVIDIA Ampere/Turing or Intel Arc A-series MXM GPUs. Powered by a 12th Gen Intel Core processor and up to 64 GB of DDR5 4800 MHz memory, and combining a proven power design, guaranteed and fanless thermal performance, and superior physical and mechanical ruggedness, PE3000G brings unprecedented longevity, computing power, flexibility and reliability to AI computing at the edge—making it an ideal option for scenarios where resilience, longevity and both CPU and GPU scalability are paramount.

"PE3000G is ASUS IoT's response to the burgeoning demand for accelerating AI inference and extreme deployment in industrial settings," commented KuoWei Chao, General Manager of the ASUS IoT business unit. "With robust power, thermal and mechanical design, it pushes versatile edge-AI-inference applications to business-critical applications. PE3000G is an ideal fit to accelerate edge AI inference in SWaP-constrained applications, such as machine vision in factory automation, outdoor surveillance system and AI-inference systems for autonomous vehicles."

Aetina, an edge AI solution provider that offers edge computing hardware and software for use in AI and IoT, has launched the first-ever MXM module that is powered by Hailo-8 AI inference processors. The ASIC-based MXM 3.1 module—AI-MXM-H84A—is designed for different AI applications, to boost their performance; the applications include automatic guided vehicles (AGVs) in logistics, virtual fence systems in manufacturing, as well as other kinds of autonomous machines and computer vision systems.

Aetina AI-MXM-H84A modules feature four Hailo-8 AI processors, providing up to 104 Tera-Operations Per Second (TOPS) AI performance with best-in-class power efficiency to speed up deployment of neural network (NN) and deep learning (DL) processes on edge devices by AI developers. The Hailo-8 AI accelerator allows edge devices to run DL applications at full scale with superb efficiency, effectiveness, and sustainability. Due to its small-sized form factor, the high-performance MXM 3.1 type B module can be easily integrated into a variety of embedded systems by developers and system integrators to handle heavy inference workloads with low latency.

Aetina has launched new embedded MXM GPU modules powered by the NVIDIA RTX family, including RTX A1000, RTX A2000, and RTX A4500. These NVIDIA Ampere architecture-based MXM GPU modules, providing superb performance and power efficiency, are suitable for various types of computer vision applications across different industries such as commercial gaming, aerospace, healthcare, and manufacturing.

The model names of the new Aetina MXM GPU modules powered by NVIDIA RTX A1000, NVIDIA RTX A2000, and NVIDIA RTX A4500 are M3A1000-PP, M3A2000-VY, and M3A4500-WP, respectively. These models support CUDA Compute version 8.6, OpenGL 4.6, Vulkan 1.2, DirectX 12 Ultimate, and Shader Model 7.0, as well as Windows 10/11 64-bit and Linux 64-bit operating systems. For display and output, M3A1000-PP, M3A2000-VY, and M3A4500-WP all support up to 4x DisplayPort (DP) and 8K (7680 × 4320) resolution.

New details have leaked on Intel's upcoming DG2 graphics accelerator, which could help shed some light on what exactly can be expected from Intel's foray into the discrete graphics department. For one, a product listing shows an Intel DG2 graphic accelerator being paired with 8 GB of GDDR6 memory and a Tiger Lake-H CPU (45 W version with 8 cores, which should carry only 32 EUs in integrated graphics hardware). This 8 GB of GDDR6 detail is interesting, as it points towards a 256-bit memory bus - one that is expected to be paired with the 512 EU version of Intel's DG2 (remember that a 384 EU version is also expected, but that one carries only 6 GB of GDDR6, which most likely means a 192-bit bus.

Videocardz says they have received an image for the block diagram on Intel's DG2, pointing towards a 189 mm² die area for the 384 EU version. Looking at component density, it seems that this particular diagram may refer to an MXM design, commonly employed as a discrete notebook solution. 6 total GDDR6 chips are seen in the diagram, thus pointing towards a memory density of 6 GB and the aforementioned 192-bit bus. Other specs that have turned up in the meantime point towards a USB-C interface being available for the DG2, which could either point towards a Thunderbolt 4-supporting design, or something like Virtual Link.

Cincoze, a professional manufacturer of embedded systems, unveils the GM-1000 rugged GPU computer, which is powered by the 9th/8th generation Intel CPU and supports one MXM GPU module expansion. This GPU computer provides high-performance computing capability with a small footprint design, which is suitable for applications like edge computing, machine vision, image processing, and artificial intelligence.

GM-1000 can be configured with a range of 9th/8th generation Intel CPUs, including Xeon and Core i up to 8 cores. It supports dual channel DDR4 2666 MHz SO-DIMM up to 64 GB. It has abundant I/Os, including 4x COM, 2x GbE LAN, 8x USB, 1x HDMI, and 1x DVI-I. GM-1000 comes with an M.2 M key slot to support NVMe SSD, and M.2 E key slot to support CNVi for WiFi or Bluetooth connection which are commonly required in high speed data storage and communication. All these functions are integrated in a small footprint just 260 mm x 200 mm x 85 mm, making it easily installed in space-limited environments.

ASRock at CEs announced what has become the world's first Mini STX PC to employ an AMD Ryzen APU. In the form of the DeskMini A300. With just 1.9 liters, it makes use of AMD's A300 chipset to guarantee support for both AMD's Ryzen (Raven Ridge) processors, as well as A-series Bristol Ridge processors with up to 65 W TDP. Take care that an integrated cooling solution isn't shipped with the A300, though - you'll have to find a cooling solution no taller than 45 mm.

2x DDR4 SO-DIMM slots allow for up to 32 GB of DDR4-2400 or DDR4-2933 memory (Ryzen or A-series). For the small form-factor, 2x M.2-2280 slots for SSDs (PCIe 3.0 x4 and x2/x4) and 2x 2.5-inch bays for SATA SSDs or HDDs sems more than plenty (RAID 0 and 1 modes are supported). No support for MXM graphics cards here - only integrated graphics can drive your displays, via 1x DisplayPort 1.2, 1x HDMI 2.0, or 1xD-Sub outputs. There's a RealtekRTL8111H GbE network connection, 2x USB 3.1 Gen 1 Type-A and 1x Type-C port, 1x USB 2.0 Type-A connector, as well as 1x M.2-2230 slot for a Wi-Fi + Bluetooth module. Power is delivered by an external, 120 W power-brick, which should help keep in-chassis temperatures in check.

Taiwanese OEM CJSCOPE has outed a tease for their upcoming HX 970 GX laptop, featuring an Intel 9th gen processor and NVIDIA's RX 2080 graphics card in an MXM form-factor. The Mobility version of the RX 2080 will feature the same 2944 CUDA cores, but an up to 1847 MHz core clock - better binning in the mobile versions of these chips, likely.

Other options given by CJSCOPE in configuring the laptop include the Mobility 2070 and 2060. The Mobility RX 2070 follows the desktop version in CUDA cores (2304) and slightly increases the maximum Boost clock to 1710 MHz, while the RX 2060 Mobility reduces the amount of CUDA cores from the prospective 1920 found in the (unreleased) desktop version to 1536 (a 20% reduction in computational resources). The marketing materials also state that the RTX 2060 should be available on January 15th.